{"id":"W2801567745","doi":"10.4155/bio-2017-0271","title":"Surface Plasmon Resonance as a Tool for Ligand-Binding Assay Reagent Characterization in Bioanalysis of Biotherapeutics","year":2018,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sierra Wireless (Canada)","funders":"","keywords":"Surface plasmon resonance; Bioanalysis; Reagent; Combinatorial chemistry; Characterization (materials science); Ligand (biochemistry); Nanotechnology; Chemistry; Computer science; Materials science; Nanoparticle; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007897067,0.001434885,0.001064447,0.003022132,0.0008143989,0.001868312,0.001739395,0.001682303,0.0006796107],"category_scores_gemma":[0.003889835,0.0006853418,0.0007214503,0.001074743,0.00188582,0.001422622,0.001732352,0.0021341,0.0008868125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874269,"about_ca_system_score_gemma":0.001033717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004644985,"about_ca_topic_score_gemma":0.0008439629,"domain_scores_codex":[0.9893531,0.005372779,0.0004723998,0.0009769495,0.00346624,0.0003586161],"domain_scores_gemma":[0.9974921,0.00129111,0.0003703462,0.000262084,0.0004852982,0.00009911689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000113453,0.0002011303,0.001232791,0.0006808089,0.0000432018,0.0002265716,0.0003880638,0.001398675,0.9188889,0.006697667,0.0007721413,0.06935668],"study_design_scores_gemma":[0.00001373459,0.0009283532,0.001729099,0.0001216332,0.00006841508,0.001459627,0.0002742152,0.01337167,0.9623731,0.003161629,0.01642179,0.00007670233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09085836,0.01551554,0.8831337,0.00136469,0.0002463619,0.0004187817,0.0001280787,0.001362962,0.006971466],"genre_scores_gemma":[0.4103396,0.009720341,0.5746629,0.0006397546,0.0001326346,0.0003545292,0.0001726125,0.0002135968,0.003764063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007897067,"threshold_uncertainty_score":0.04176414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970760779157502,"score_gpt":0.3117426459981284,"score_spread":0.2820350382065534,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}